AI Machine Learning Flashcards

(18 cards)

1
Q

What is the formula for AI

A

Data + Learning Algorithm= Prediction

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2
Q

How does Supervised Learning learn?

A

mapping an input to an output based on the examples of input-output pairs

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3
Q

Supervised Learning’s each example is a pair of consisting of input features and the desired output labels (a class of targeted value)

True or False?

A

True

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4
Q

In supervised learning,
What is required for all data points to guide the learning process?

A

All data points must contain the correct output labels to guide the learning process

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5
Q

In supervised learning, prediction output can be a category (class) or a numerical value.

True or False?

A

True

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6
Q

In supervised learning,prediction output of the AI Model can be validated or compared to the correct answer (label) associated to the data entry.

True or False?

A

True

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7
Q

What are the difference between Supervised and Unsupervised Learning?

A

Supervised Learning is with labels
Unsupervised Learning is without Labels

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8
Q

In unsupervised learning, what is the correct answer to the problem?

A

The correct answer to the problem is unknown, no right or wrong.

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9
Q

In unsupervised learning, each example only consists of what?

A

input features

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10
Q

In Unsupervised learning,prediction output is the _____ of data points according to _____

A

In Unsupervised learning, prediction output is the clustering and grouping of data points according to similarities, patterns and characteristics.

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11
Q

Classification and Regression is part of what?

A

Supervised Learning

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12
Q

Clustering is part of what?

A

Unsupervised Learning

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13
Q

What is Classification? Give Examples

A

A prediction of a class or label of a sample

Class 1:Dog
Class 2: Cats

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14
Q

What is Regression? Give Examples

A

Regression is the prediction of the numerical value of a sample.

Can you predict the price of the house? Based on the number of rooms, location and size.

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15
Q

What is Clustering?

A

A group of unlabeled data

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16
Q

When data are Unlabeled, only which method will work?

A

When data are unlabeled, only the unsupervised machine learning will work to group them into different clusters or group.

17
Q

What is the algorithm to Clustering?

A

Clustering groups data or objects according to the similarities found in the dataset.

18
Q

If Data are labeled,Clustering will become a problem in the Machine Learning.

True or False?